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作者

Tianyi Dong, Xiang Lan, Bingbing Fan, Shouyin Jia, Fengyan Liu, Qiang Feng, Yi Sun, Ning Zhong, Shili Liu

作者单位

Affiliations ¹ School of basic medical science, Public Health, and Stomatology, Qilu hospital and the second hospital, Cheeloo College of Medicine, Shandong University, 250012, Jinan, Shandong, China. ² Shandong Provincial Hospital Affiliated to Shandong First Medical University, 250021, Jinan, Shandong, China. ³ Shandong rehabilitation research center, Weizishan Road 3126, Tangye New District, Licheng District, 250109, Jinan, Shandong, China. ⁴ School of basic medical science, Public Health, and Stomatology, Qilu hospital and the second hospital, Cheeloo College of Medicine, Shandong University, 250012, Jinan, Shandong, China. Nathan.zhongning@foxmail.com. ⁵ School of basic medical science, Public Health, and Stomatology, Qilu hospital and the second hospital, Cheeloo College of Medicine, Shandong University, 250012, Jinan, Shandong, China. liushili@sdu.edu.cn.

刊名

Molecular biology reports

年份

2022

ISSN

1573-4978

关键词

Accuracy rate Atrophic gastritis Differential bacteria Identification biomarker microbiota.

摘要

Background: Identification of the risk factors for atrophic gastritis and prevention of further deterioration of the gastritis are effective approaches to reduce the incidence of gastric cancer. Previous studies found that dysbiosis has been implicated in a wide range of diseases, while the role of gastric bacteria as a biomarker for AG has not been explored. Methods and results: Gastric juices from cases with non-atrophic gastritis and AG were collected for investigation of bacterial composit...更多

Background: Identification of the risk factors for atrophic gastritis and prevention of further deterioration of the gastritis are effective approaches to reduce the incidence of gastric cancer. Previous studies found that dysbiosis has been implicated in a wide range of diseases, while the role of gastric bacteria as a biomarker for AG has not been explored. Methods and results: Gastric juices from cases with non-atrophic gastritis and AG were collected for investigation of bacterial composition and function. The β-diversity of microbiota exhibited a significant reduction in AG samples compared with that in NAG samples. Differential abundance analysis revealed that a total of 23 predicted species changed their distributions; meanwhile, all obligate anaerobic bacteria with a relatively high abundance lowered their contents in AG samples. Additionally, the correlation analysis indicated a clear shift in bacterial correlation pattern between the two groups. Functional interrogation of the gastric microbiota showed that bacterial metabolisms associated with enzyme families, digestive system, and endocrine system were downregulated in AG samples. The compositional dissection of 'core microbiota' exhibited that oral pathogens, including Porphyromonas gingivalis, Campylobacter gracilis, and Granulicatella elegans, were magnified in AG samples, suggesting that oral diseases may be a trigger factor for early exacerbation of gastritis. Then, the differentially expressed bacteria were used as diagnostic biomarkers for the random forest classifier model for group prediction. Conclusions: The results showed that bacterial biomarkers could distinguish AG patients from NAG cases with an accuracy of 90% at the genus level.收起

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